AI Engineer
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An AI Engineer is a Software Engineer who is engaged in an AI Engineering Job primarily performing AI Engineering Tasks to develop and maintain AI Systems.
- Context:
- They can (typically) be a Member of an AI Engineering Workforce within an AI Engineering Labor Market.
- They can (typically) possess AI Engineering Education.
- They can (typically) be described by an AI Engineering Job Description and categorized under an AI Engineering Job Level.
- They can (typically) exhibit high AI Problem Solving Skill.
- They can (typically) utilize AI Development Tools and operate within AI Platform Systems.
- They can (often) specialize in an AI Subdomain, such as being an ML Engineer, NLP Engineer, or Vision Engineer.
- They can (often) collaborate with roles like AI Platform Engineers, Data Engineers, and AI Research Scientists.
- They can range from being an Entry-Level AI Engineer to Experienced AI Engineer based on their AI Engineering Skill Level and experience.
- They can adhere to AI Engineering Best Practices.
- ...
- Example(s):
- an ML Engineer designing and developing Machine Learning Systems.
- an NLP Engineer specializing in Natural Language Processing Systems.
- a Vision Engineer focusing on Computer Vision Systems.
- a GenAI Engineer developing Generative AI Applications.
- a Robotics AI Engineer creating intelligent Robotic Systems.
- ...
- Counter-Example(s):
- an AI Research Scientist primarily focused on AI research rather than engineering.
- an AI Data Analyst more involved in analyzing outputs of AI systems rather than development.
- a general Software Engineer not specialized in AI technologies.
- See: Applied AI, AI Research, AI Data Scientist, AI System, AI Engineering.
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